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Different from some existing controller design approaches for nonlinear systems with actuator nonlinearities, the usual priori knowledge on the known compact set for system uncertain parameters has been eliminated with the proposed control method.
Local state estimation approaches for nonlinear stochastic systems are treated.
Similar numerical approaches for nonlinear Fredholm and Volterra integral equations of the second kind are also presented in [24, 25].
This paper investigates multi-objective controller design approaches for nonlinear boiler-turbine dynamics subject to actuator magnitude and rate constraints.
This paper presents and illustrates some novel subset design approaches for nonlinear regression models and for linear models where interest lies in a nonlinear function of the model parameters with a special emphasis on models useful in detection drug synergy.
With respect to the existent model-based approaches for nonlinear networked control system, the proposed method eliminates the need for acknowledgment messages, by suitably modifying the finite horizon optimization problem associated to the MPC.
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A new geometric approach for nonlinear independent component analysis (ICA) is presented in this paper.
Reference [8] developed a fuzzy adaptive control approach for nonlinear systems with unknown control gain sign.
This paper presents a control design approach for nonlinear distributed process systems.
Gain scheduling is a popular approach for nonlinear control system design.
An approach for nonlinear system identification widely studied in recent years is "Reverse Path".
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